Learning shape correspondence with anisotropic convolutional neural networks

Advances in Neural Information Processing Systems

Volumn , Issue , 2016, Pages 3197-3205

  Boscaini, Davide ^a   Masci, Jonathan ^a   Rodolà, Emanuele ^a   Bronstein, Michael ^a,b,c  

^a UNIVERSITY OF LUGANO   (Switzerland)

^b TEL AVIV UNIVERSITY   (Israel)

^c INTEL CORPORATION   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ANISOTROPY; BENCHMARKING; COMPUTER GRAPHICS; GEOMETRY; NEURAL NETWORKS; PATTERN RECOGNITION;

ANISOTROPIC DIFFUSION; CONVOLUTIONAL NEURAL NETWORK; DEFORMABLE SHAPES; DENSE CORRESPONDENCES; GEOMETRY PROCESSING; NON-EUCLIDEAN; SHAPE CORRESPONDENCES; STATE OF THE ART;

CONVOLUTION;

EID: 85011287738     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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